You use graph databases every day and probably don’t know it. Every time you visit LinkedIn and see first-, second-, or third-degree connections, you’re getting results from the social networking ...Full Article

Data scientists must deliver accurate, agile insights that enhance company performance. At the same time, they face a host of technical barriers involving legacy data silos, security, data governance ...Full Article

Deep learning containers, a service recently rolled out in beta by Google, aims to help AI developers package the storage and computing dependencies required for services like its Kubernetes ...Full Article

Data centers and supercomputers running AI workloads consume a lot of power, and power use causes carbon emissions. That’s generally known, but it’s not widely appreciated just how energy- ...Full Article

As data scientists and software developers sort through the plethora of tools and APIs ranging from Python to Apache Spark, automation schemes are emerging to help programmers navigate those ...Full Article

Early adopters of blockchain technology, particularly financial institutions that are among the first to wring out the distributed, encrypted and immutable ledgers, are being force to analyze data offline, ...Full Article